{"id":"W3169605368","doi":"10.1007/s00034-021-01755-0","title":"Novel Double-Dispersion Models Based on Power-Law Filters","year":2021,"lang":"en","type":"article","venue":"Circuits Systems and Signal Processing","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dispersion (optics); Filter (signal processing); Flexibility (engineering); Operator (biology); Power (physics); Transfer function; Mathematics; Applied mathematics; Power law; Algorithm; Point (geometry); Laplace operator; Computer science; Mathematical optimization; Mathematical analysis; Statistics; Physics; Engineering; Geometry; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002001978,0.0002806622,0.0003880761,0.00008572664,0.000214268,0.0002881163,0.0001139671,0.0001444901,0.000009898878],"category_scores_gemma":[0.00000480415,0.0002771037,0.0000643179,0.0002075598,0.0000378299,0.0004400545,0.00001492479,0.0002010506,0.000008587777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240194,"about_ca_system_score_gemma":0.00006399432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000227867,"about_ca_topic_score_gemma":0.000002574185,"domain_scores_codex":[0.9984611,0.00003349815,0.0003779855,0.000404214,0.0003378707,0.0003853358],"domain_scores_gemma":[0.9993272,0.00007075036,0.00007630177,0.00022767,0.0001321192,0.0001659731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001514876,0.00002731763,0.000006678102,0.0007139167,0.00002368213,0.00004248587,0.000252086,0.8258392,0.1657771,0.002878078,0.00004704691,0.004377225],"study_design_scores_gemma":[0.001607477,0.00004387961,0.000007508853,0.001099281,0.00002014567,0.00008383988,0.0002958754,0.991474,0.004065024,0.0001160049,0.0008048962,0.0003820179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005716982,0.007367289,0.9567931,0.00002567969,0.0003949942,0.0003528419,0.00001643854,0.0003833102,0.02894935],"genre_scores_gemma":[0.9993395,0.000004097881,0.0001766137,0.00009583656,0.00011739,0.00004328084,0.000009389624,0.00007243683,0.0001414525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9936225,"threshold_uncertainty_score":0.9999681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650147487230241,"score_gpt":0.2181198398211798,"score_spread":0.1916183649488774,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}